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Dilsher Singh Dhillon
I’m an applied statistician with expertise in applying both traditional and modern statistical methods to solve business problems. I’m an advocate for reproducible workflows and an avid user of R markdown documents and docker containers. I’m looking for opportunities where I can leverage my statistics training to quantify uncertainty to aid in better decision making.
Disclaimer
Permanent US Resident
Education
Texas A&M University
Master’s in Statistics
College Station, TX
2015 - 2017
Summa Cum Laude
Texas A&M University
Master’s in Biotechnology
College Station, TX
2010 - 2012
Cum Laude
Panjab University
Bachelor of Engineering
Chandigarh, India
2006 - 2010
Work Experience
Shell International Exploration and Production
Statistician
Houston, TX
March 2019 - Present
- Shell commercial products
- Help improve the line of products offered by Shell by assisting researchers implement optimal experimental designs
- Developed novel experimental methods to make inferences on important metrics
- Analysis of randomized experiments and higher-order factorial designs
- Building data models from complex unstructured data to conduct meaningful statistical analysis
- Effective communication of results to stakeholders aiding in optimum decision making
- Help improve the line of products offered by Shell by assisting researchers implement optimal experimental designs
- Drilling operations
- Delivered a well calibrated probabilistic map of a region of interest that indicates risk of encountering hazards
- Provide statistical input to the business unit on decisions to turn work on/off
- Building interpretable machine learning models to drive decision making
- Delivered a well calibrated probabilistic map of a region of interest that indicates risk of encountering hazards
Baylor College of Medicine
Statistician
Houston, TX
2018 - 2019
- Identifying risk factors for poor outcomes in co-infected TB-HIV patients
- Worked with clinicians in Africa to extract longitudunal data for ~25000 subjects
- Developed a statistical model to understand risk factors that are associated with poor TB outcome - which leads to better patient management guidelines for high risk countries.
- Worked with clinicians in Africa to extract longitudunal data for ~25000 subjects
- Studying underlying epigenetic mechanism of TB infection
- Processed methylation data from EPIC arrays consisting of ~850,000 individual probes
- Automated a pipeline in Python for merging of patient data from clinical research forms in eSwatini
MD Anderson Cancer Center
Research Investigator
Houston, TX
2013 - 2018
- Promoted to a supervisory capacity to oversee assay development of novel biomarkers and testing of in-house and commercial
assays in clinical samples for validation
- Managed the Specimen Manger database for recording subject characteristics, bio-specimen banking and inventory and multicenter study inventory for the Lung Cancer Early Detection trial